Accelerate analytics with AI-assisted data preparation in BigQuery, now GA

According to Gartner®, “Gartner clients now report that 90% or more of their time is spent preparing data (as high as 94% in complex industries) for advanced analytics, data science and data engineering.”¹. Last year, we introduced BigQuery data preparation, which helps data analyst teams wrangle data with help from Gemini in BigQuery. With it, the tedious task of data preparation becomes a breeze as Gemini analyzes your data and schema, and offers context-aware suggestions for cleaning, transforming, and enriching your data.

BigQuery's approach to data preparation can also help you automate building data pipelines, allowing users with varying technical backgrounds to efficiently prepare data for analysis, regardless of their proficiency with SQL. Once data has been prepared, you can then run your data integration workloads on BigQuery’s serverless, cloud-native, AI-ready data analytics platform.

Today, we’re taking things one step further and announcing that BigQuery data preparation is generally available. It now also integrates with BigQuery pipelines, letting you connect data ingestion and transformation tasks so you can create end-to-end data pipelines with incremental processing, all in a unified environment. You can view all the transformations that BigQuery data preparation generates as SQL code and use BigQuery repositories and Git to collaborate on and manage your code.

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